COMP3420 - Course content and schedule

Course schedule   (last update 23 February, 2010)

Semester week
(year week)
Date
Lecture
Monday, JD 101 (Building 27)
Tuesday, PHYS T (Building 39A)
Tutorials / Labs
Computer Science and Information Technology Building
Assignments/
Tutorial Answers
1 (8) 22 Feb no lecture    
1 (8) 23 Feb Introduction to Data Mining (Weifa)    
2 (9) 1 March Introduction to Data Warehousing
Relationships between DW and DM (Weifa)
   
2 (9) 2 Mar Overview of data preprocessing
Descriptive data summarization (Weifa)
   
3 (10) 8 Mar Canberra day (no lecture!)    
3 (10) 9 Mar Data Cleaning/Data Integration
Data Transformation (Weifa)
Lab/Tutorial 1  
4 (11) 15 Mar Data reduction (Weifa) Assignment 1 out  
4 (11) 16 Mar Data discretization
Concept hierarchy generation and summary (Weifa)
  Tut. 1's Answer out
5 (12) 22 Mar Data Linkage and Geocode matching (Peter) Lab/Tutorial 2  
5 (12) 23 Mar Data Warehousing
A multi-dimensional data model (Weifa)
   
6 (13) 29 Mar Data warehouse architecture
Data warehouse implementation (Weifa)
  Tut.2's Answer out
6 (13) 30 Mar Datacube computation(I) (Weifa)    
Mid Semester Break (Monday 5 April - Sunday 18 April)
7 (16) 19 April Datacube computation(II) (Weifa) Lab/Tutorial 3 Assignment 1 due
Thursday 5:00pm April 22
7 (16) 20 Apr Introduction to association mining, and
Advanced association mining (Peter)
  Tut. 3's Answer out
8 (17) 26 Apr Anzac day (no lecture)    
8 (17) 27 Apr Introduction to cluster analysis, and
Advanced cluster analysis (Peter)
   
9 (18) 3 May No lecture (TBC, Peter away)    
9 (18) 4 May Data Warehouisng review Session
(Michael Stevens)
   
10 (19) 10 May Introduction to classification and prediction and decision tree induction (Peter) Lab/Tutorial 4  
10 (19) 11 May Bayesian classification and evaluating classifier performance, and
Rule-based classification and artificial neural networks (Peter)
Lab/Tutorial 4  
11 (20) 17 May Support vector machines, other classification methods, and prediction (Peter)   Tut. 4's Answer out
11 (20) 18 May Mining data streams and time series, and Privacy-preserving data mining and data sharing (Peter)    
12 (21) 24 May No lecture Lab/Tutorial 5  
12 (21) 25 May Web data mining, and
Text data mining (Peter)
Lab/Tutorial 5  
13 (22) 31 May No lecture   Tut. 5's Answer out
Assignment 2 due
(Friday 28 May, 12:00 Noon)
13 (22) 1 Jun Course review and exam preparation (Weifa and Peter) Lab/Tutorial 6 Tut. 6's Answer out